Unique Pesticide Analysis Method

contributed by SCIEX | 03/24/2016

Comprehensive Quantitation and Identification of Pesticides in Food Samples using LC-MS/MS with Scheduled MRM™, Fast Polarity Switching, and MS/MS Library Searching

Liquid Chromatography coupled to Tandem Mass Spectrometry (LC-MS/MS) is a widely used analytical tool for the screening of food residues and contaminants. Here, we present a new and unique method using QuEChERS extraction, separation using a polar embedded C18 phase, and MS/MS detection with highly selective and sensitive Multiple Reaction Monitoring (MRM) on an SCIEX QTRAP® 5500 system. The Scheduled MRM algorithm was used to obtain the best data quality and combined with fast polarity switching to cover the broadest range of pesticides possible. In addition MS/MS spectra were acquired to enable compound identification with highest confidence based on mass spectral library matching.

Log in or register to read this article in full and gain access to The Analytical Scientist’s entire content archive. It’s FREE!

Email*

Choose a password

I have read and understand the Privacy Notice *

Stay up to date with our other newsletters and sponsors information, tailored specifically to the fields you are interested in

Receive communication from The Cannabis Scientist I want to stay up to date with the Mass Spectrometry field I want to stay up to date with the Spectroscopy field

When you click “Subscribe” we will email you a link, which you must click to verify the email address above and activate your subscription. If you do not receive this email, please contact us at [email protected].
If you wish to unsubscribe, you can update your preferences at any point.

M. Anastassiades, et al.: J. AOAC Int. 86 (2003) 412-431
A. Schreiber and RebeccaWittrig.: AgroFOOD 21 (2010) 16- 19
J. Wong et al.: J. Agric. Food Chem. 58 (2010) 5897-5903
A. Schreiber and Nadia Pace.: Application Note SCIEX (2010) 1282310-01
K. von Czapiewski et al.: Application Note SCIEX (2011) 2110211-01
A. Schreiber et al.: Application Note SCIEX (2010) 1121010-01